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Yung-Liang Wan,Pei-Kwei Tsay,Yun-Chung Cheung,Ping-Cherng Chiang,Chun-Hua Wang,Ying-Huang Tsai,Han-Ping Kuo,Kuo-Chien Tsao,Tzou-Yien Lin 대한영상의학회 2007 Korean Journal of Radiology Vol.8 No.6
Objective: The purpose of this study was to quantify lesions on chest radiographs in patients with severe acute respiratory syndrome (SARS) and analyze the severity of the lesions with clinical parameters. Materials and Methods: Two experienced radiologists reviewed chest radiographs of 28 patients with SARS. Each lung was divided into upper, middle, and lower zones. A SARS-related lesion in each zone was scored using a four-point scale: zero to three. The mean and maximal radiographic scores were analyzed statistically to determine if the scorings were related to the laboratory data and clinical course. Results: Forward stepwise multiple linear regression showed that the mean radiographic score correlated most significantly with the number of hospitalized days (p < 0.001). The second most significant factor was the absolute lymphocyte count (p < 0.001) and the third most significant factor was the number of days of intubation (p = 0.025). The maximal radiographic score correlated best with the percentage of lymphocytes in a leukocyte count (p < 0.001), while the second most significant factor was the number of hospitalized days (p < 0.001) and the third most significant factor was the absolute lymphocyte count (p = 0.013). The mean radiographic scores of the patients who died, with comorbidities and without a comorbidity were 11.1, 6.3 and 2.9, respectively (p = 0.032). The corresponding value for maximal radiographic scores were 17.7, 9.7 and 6.0, respectively (p = 0.033). Conclusion: The severity of abnormalities quantified on chest radiographs in patients with SARS correlates with the clinical parameters.
A Model Deformation Approach for 3D Reconstruction
Yung-Yang Chiang,Min-Liang Wang,Huei-Yung Lin,Pei-Yung Lee,Chin-Chen Chang 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.12
In this paper, we present a model deformation approach based on a visual hull technique for improving 3D reconstruction. The proposed approach combines the exquisite 3D model derived by active acquisition methods and the constraints from the rough 3D model derived by passive methods. We take the advantages of active and passive methods to obtain a 3D model with the better quality. The clustering method is adopted to segment 3D models into several sub-models and we then match the sub-models individually via an iterative closest point algorithm. Three testing 3D models are used for evaluating the proposed approach. The results demonstrate the feasibility of the proposed approach.
Liang, Ying Shi,Ermawati, Netty,Cha, Joon-Yung,Jung, Min-Hee,Su'udi, Mukhamad,Kim, Min-Gab,Ha, Sun-Hwa,Park, Chung-Gyoo,Son, Dae-Young The Korean Society for Applied Biological Chemistr 2010 Applied Biological Chemistry (Appl Biol Chem) Vol.53 No.2
The cytokinin response factor 5 (CRF5) belongs to a family of plant-specific APETALA2 (AP2)/ethylene-responsive element binding proteins (EREBPs). The novel role of Arabidopsis CRF5, previously identified as a mediator of cytokinin signaling, has been suggested to increase pathogen resistance in this study. Endogenous CRF5 transcripts are expressed in all tissues, including the seedlings, leaf, stem, flower, silique and root, and were found to be induced at 1 h after infection with the bacterial pathogen, Pseudomonas syringae pv. tomato DC3000 (Pst DC3000). The results of a yeast one-hybrid assay revealed that an acidic region of CRF5, including the C-terminal 28 amino acids, functions as a transcriptional activator. Overexpression of CRF5 in transgenic Arabidopsis increases pathogen resistance and concomitantly activates the expression of a large number of GCC-box pathogenesis-related genes. These results indicate that CRF5 may be involved in disease resistance as a transcription activator, thus providing a mechanistic link between the plant pathogen response and cytokinin signaling.
단백체를 이용한 애기장대 Cytokinin 유도 단백질의 분석
양영실,차준영,네티 엘마와티,정민희,배동원,이창원,손대영 Plant molecular biology and biotechnology research 2005 Plant molecular biology and biotechnology research Vol.2005 No.
Cytokinins are essential plant hormones that play crucial roles in various aspects of plant growth and development. To better understand the molecular mechanisms of cytokinin action, we identified cytokinin related proteins by a proteomic approach. Proteins extracted from control and trans-zeatin treated Arabidopsis seedlings were separated and analyzed by two dimensional gel analysis. Differentially expressed protein spots were identified with peptide mass fingerprinting based on matrix assisted laser desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry and database searching. We obtained ten up-regulated and one down-regulated proteins upon t-zeatin treatment. The expression of the following proteins was induced; pollen allergen like protein, L-ascorbate peroxidase, tetrapyrrole methylase family protein, SGT1 protein homolog, disease resistance related protein, maternal embryogenesis control protein, paxneb related protein, gluthathione S-transferase and IAA amino acid hydrolase homolog.
Realistic Simulations on Reverse Junction Characteristics of SiC and GaN Power Semiconductor Devices
Guannan Wei,Yung C. Liang,Ganesh S. Samudra 전력전자학회 2012 JOURNAL OF POWER ELECTRONICS Vol.12 No.1
This paper presents a practical methodology for realistic simulation on reverse characteristics of Wide Bandgap (WBG) SiC and GaN p-n junctions. The adjustment on certain physic-based model parameters, such as the trap density and photo-generation for SiC junction, and impact ionization coefficients and critical field for GaN junction are described. The adjusted parameters were used in Synopsys Medici simulation to obtain a realistic p-n junction avalanche breakdown voltage. The simulation results were verified through benchmarking against independent data reported by others.